Simulation of Dynamic Model of Information Systems Success in M-banking
محورهای موضوعی :MahMonir Bayanati 1 , Adel Pourghader Chobar 2 , Mohammad Reza Nasiri Janagha 3 , Raheleh Alamiparvin 4
1 - Health and Industry Research Centre, West Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
3 - Department of Industrial Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran
4 - Department of Industrial Engineering, Bonab Branch, Islamic Azad University, Bonab, Iran
کلید واژه: Simulation, Dynamic Model, Information Systems Success, M-banking,
چکیده مقاله :
Mobile commerce has significantly developed in the last decade. As mobile commerce grows, the need to use mobile banking systems becomes more serious. If mobile banking (m-banking) systems are assumed as information systems (IS), successful IS in m-banking means the banks are successful in managing their information systems. On the other hand, based on information success models, many factors play a role in banks' information systems in m-banking. This article is focused on simulating a dynamic model for IS success in m-banking. The system dynamic (SD) perspective helps us to elaborate better on the effects of each element of IS in m-banking. In this research, a dynamic model was developed based on two models of Delone and Mc Lean in information systems success. In previous studies, researchers analyzed the IS success with statistical methods that have so many limitations on the number of factors, but SD helps to overcome this limitation. Also, it helps to forecast the system's behavior for a long period. In this research, first of all, we start the modeling process by establishing a review of the literature and Delphi survey. The second stage was drawing Causal Loop Diagrams (CLD) and Stock Flow Diagrams (SFD) with VENSIM software based on the mental representations of the Delphi technique. In the third step, the VENSIM application was checked the model; In the fourth step, the model was formalized. Sensitivity analysis was the fifth step. After passing the sensitivity analysis step, the Delphi survey again checked the dynamic model. In this way, the dynamic model was validated and reliable. This research forecasts the behavior of each main factor for 132 months later with the VENSIM application. The results indicate that the main factors in the IS systems in m-banking should grow to be a successful information system. Two scenarios are developed in two extremes, optimistic and pessimistic. The dynamic model forecasts the behavior of each of the 6 systems for 44 quarters. Also, some sensitivity analyses show that security, easy learning, easy use, and user satisfaction are critical for the success of information systems in mobile bank systems. Tracking these paths helps the managers of IS systems in banks.
Mobile commerce has significantly developed in the last decade. As mobile commerce grows, the need to use mobile banking systems becomes more serious. If mobile banking (m-banking) systems are assumed as information systems (IS), successful IS in m-banking means the banks are successful in managing their information systems. On the other hand, based on information success models, many factors play a role in banks' information systems in m-banking. This article is focused on simulating a dynamic model for IS success in m-banking. The system dynamic (SD) perspective helps us to elaborate better on the effects of each element of IS in m-banking. In this research, a dynamic model was developed based on two models of Delone and Mc Lean in information systems success. In previous studies, researchers analyzed the IS success with statistical methods that have so many limitations on the number of factors, but SD helps to overcome this limitation. Also, it helps to forecast the system's behavior for a long period. In this research, first of all, we start the modeling process by establishing a review of the literature and Delphi survey. The second stage was drawing Causal Loop Diagrams (CLD) and Stock Flow Diagrams (SFD) with VENSIM software based on the mental representations of the Delphi technique. In the third step, the VENSIM application was checked the model; In the fourth step, the model was formalized. Sensitivity analysis was the fifth step. After passing the sensitivity analysis step, the Delphi survey again checked the dynamic model. In this way, the dynamic model was validated and reliable. This research forecasts the behavior of each main factor for 132 months later with the VENSIM application. The results indicate that the main factors in the IS systems in m-banking should grow to be a successful information system. Two scenarios are developed in two extremes, optimistic and pessimistic. The dynamic model forecasts the behavior of each of the 6 systems for 44 quarters. Also, some sensitivity analyses show that security, easy learning, easy use, and user satisfaction are critical for the success of information systems in mobile bank systems. Tracking these paths helps the managers of IS systems in banks.
Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R. E., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. A. (2022). Continued Intention to Use of M-Banking in Jordan by Integrating UTAUT, TPB, TAM and Service Quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 120.
Abbasi E., M. Bastan and A. M. Ahmadvand, "A system dynamics model for mobile banking adoption," 2016 12th International Conference on Industrial Engineering (ICIE), 2016, pp. 1-9, doi: 10.1109/INDUSENG.2016.7519341.
Bailey, J.E. and Pearson, S.W. 1983, Development of a Tool for Measuring and Analyzing Computer User Satisfaction. Management Science. 29(May):519-529.
Bastan, M., Khorshid-Doust, R. R., Sisi, S. D., & Ahmadvand, A. (2017). Sustainable development of agriculture: a system dynamics model. Kybernetes.
Bayanati, Mahmonir and Tolouie-Eshlaghi, Abbas, (2015). IS Success in M-Banking Systems: A Dynamic Approach, Indian Journal Of Natural Sciences. 5(28).
Dalle, J., Hastuti, D., Mahmud, M., Prasetia, I., & Baharuddin, B. (2020). DeLone and McLean model evaluation of information system success: A case study of master program of civil engineering Universitas Lambung Mangkurat. International Journal of Advanced Science and Technology, 29(4), 1909–1919.
Delbecq, A.L., Ven, A.H. and Gustafson, D. 1975, Group Techniques for Program Planning: A Guide to Nominal Group and Delphi Processes, Scott, Foresman & Co., Glenview, Illinois.
DeLone, W.H., and Mclean E.R., 1992. Information Systems Success: The Quest for the Dependent Variable. Information Systems Research. 3(1):60-95.
DeLone, W.H., and Mclean E.R., 2002. Information Systems Success Revisited. Proceedings of the 35th Hawaii International Conference on System Sciences. IEEE Computer Society Press, Los Alamitos, CA: 238-248.
DeLone, W. H., and McLean, E. R., 2003. The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems. 19(4): 9-30.
Dong, L., Neufeld, D. and Higgins, C. 2009. Top Management Support of Enterprise Systems Implementations. Journal of Information Technology. (24):55-80.
Forrester, J. W., 1973, World Dynamics, Wright-Allen Press, Inc, Cambridge, Massachusetts
Forrester, J. W., 1992, Policies, Decision and Information Sources for Modeling, European Journal of Operational Research. (59): 42-63.
Gable, G.G., Sedera, D. and Chan, T., 2008. Re-conceptualizing Information System Success: the IS Impact Measurement Model. Journal of the Association for Information Systems. 9(7), 377-408.
Ghazal, S., Aldowah, H., Umar, I., & Bervell, B. (2018). Acceptance and satisfaction of learning management system enabled blended learning based on a modified DeLone-McLean information system success model. International Journal of Information Technology Project Management (IJITPM), 9(3), 52–71.
Ghobakhloo M, Fathi M. Modeling the Success of Application-Based Mobile Banking. Economies. 2019; 7(4):114. https://doi.org/10.3390/economies7040114
Harrison, E.F. and Pelletier, M.A. 2000, The Essence of Management Decision. Management Decision. 38(7):147-159.
Hidayatullah, Syarif & Khouroh, Umu & Windhyastiti, Irany & Patalo, Ryan & Waris, Abdul. (2020). Implementation of DeLone and McLean Information System Success Model against Zoom Application-Based Learning System During the Covid-19 Pandemic. Journal of Technology. 6. 45-53. 10.26905/jtmi.v6i1.4165.
Irawan, H., & Syah, I. (2017). Evaluation of implementation of enterprise resource planning information system with DeLone and McLean model approach. In 2017 5th international conference on information and communication technology (ICoIC7) (pp. 1-7). IEEE.
Jogiyanto, Information Technology System Success Model. Andi Publisher, 2007.
Laudon, K. C., & Laudon, J. P. (2016). Management information systems: Managing the digital firm. New Jersey (Vol. 14).
Livari, J., 2007, An empirical Test of the Delone and McLean Model of Information System Success, Data Base for Advance in Information Systems1, 8-27, April.
Palani, A. and Yasodha, P., 2012, "A study on customer perception towards mobile banking in Indian Overseas Bank Chennai", International Journal of Marketing and Technology. 2 (4), 262-276
Petter, S.; Delone, W.; and McLean, E., 2008. Measuring Information Systems Success: Models, Dimensions, Measures, and Interrelationships. European Journal of Information Systems. 17:236-263.
Pipino, L.L., Lee, Y.W. and Wang, R,Y. 2002, Data Quality Assessment. Communications of the ACM. 45(4):211-218.
Puschel, J., J. A. Mazzon, and J. M. C. Hernandez, 2010, "Mobile banking: Proposition of an integrated adoption intention framework," International Journal of Bank Marketing. 28 (5) 389-409, 2010.
Safeena, R., Date, H., Kammani, A., Hundewale, N., 2012. Technology adoption and Indian consumers: Study on mobile banking. International Journal of Computer Theory and Engineering 4(6), 1020 – 1024.
Saputro, Pujo Hari., A. Djoko Budiyanto., & Alb. Joko Santoso. (2015). DeLone and McLeanModel to Measure the Success of Pekalongan City E-government. Scientific Journalof Informatics, Vol. 2(1), pp. 1-8.
Seddon, P.B., 1997 A Re-specification and Extension of the Delone and McLean Model of IS Success. Information Systems Research. 8(3):240-253.
Seddon, P.B., 1999 Dimensions of Information Systems Success. Communications of the Association for Information Systems. 2(1) Article 20.
Seddon, P.B., Staples, D.S., Patnayakuni, R., and Bowtell, M.J., 1998. The IS Effectiveness Matrix: The importance of Stakeholder and System in Measuring IS Success. Proceedings of the International Conference on Information systems, Helsinki, Finland. Hirscheim, R., Newman and DeGross (Eds). Helsinki, Finland: 165-177.
Shaikh, A.A., 2013. Mobile banking adoption issues in Pakistan and challenges ahead. Journal of the Institute of Bankers Pakistan 80(3), 12 – 15.
Shannon, C.E. and W. Weaver, 1949, the Mathematical Theory of Communication. Urbana, IL: University of Illinois Press.
Soror, A.A., Hammer, B.I., Steelman, Z.R., Davis, F.D. & Limayem, M.M., 2015, Good habits gone bad: explaining negative consequences associated with the use of mobile phones from a dual-systems perspective. Information Systems Journal. (25): 403–427.
Sripalawat, J., Thongmak, M. and Ngramyarn, A., 2011, "M-banking in metropolitan Bangkok and a comparison with other countries", The Journal of Computer Information Systems, Vol.51 No. 3, pp. 67-76
Sterman, J. D. 2000, Business Dynamics: Systems thinking and modeling for a complex world, The McGraw-Hill Companies, Inc, Massachusetts.
Sterman, J. D. 2002, All models are wrong: Reflections on becoming a systems scientist, System Dynamics Review 18(4), 525
Tharkurta, R. and Ahlemann, F., 2010. Understanding Requirements Volatility in Software Projects-An Empirical Investigation of Volatility Awareness, Management Approaches and Their Applicability. Proceedings of the 43rd Hawaii International Conference on System Sciences. IEEE Computer Society. Honolulu, HI: 1-2.
Turoff, M. & Hiltz, S. R. 1996, 'Computer Based Delphi Processes', In Adler, M. & Ziglio, E. (eds) Gazing into the Oracle: The Delphi Method and Its Application to Social Policy and Public Health, Jessica Kingsley Publishers, London.
Velasquez, N.F.; Durcikova, A. and Sabherwal, R., 2009. Studying Knowledge Management System Success in System Administration. Proceedings of the 42nd Hawaii International Conference on System Sciences. Big Island, HI: 1-7.
Vieira da Cunha, J., Carugati, A. & Leclercq-Vandelannoitte, A., 2015. The dark side of computer-mediated control. Information Systems Journal. (25): 319–354.
Wang, Y S., Lin, H. H., and Luarn P., 2006, "Predicting consumer intention to use mobile service," Information Systems Journal. 16 (2), 157-179
Wu, J. and Wang, Y., 2006. Measuring KMS success: A re-specification of the DeLone and McLean's model. Information and Management. 43:728-739
Yusof, M.M. and Kuljis, J. 2008, An Evaluation Framework for Health Information Systems: Human, Organization and Technology-fit (HOT-fit). International Journal of Medical Informatics. 77:386-398.
